OpenAI Audio API Calls

Simple API calls using OpenAI's Audio APIs: Whisper and the Text To Speach API.

In the audio-api-calls.ipynb jupyter notebook, I demonstrate how to use the OpenAI Audio API models, Whisper and the Text To Speech APIs.

I included the following examples:

1. English speech to text function (whisper-1).

2. English speech to text with and without context (whisper-1).

3. Hungarian speech to Hungarian text (whisper-1).

4. Hungarian speech to English text translation (whisper-1).

5. English text to English audio (tts-1).

6. Hungarian text to Hungarian audio (tts-1).

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How to run this project?

0. Prerequisites:

   • Make sure Python3 is installed.
   • If you don't have an account with OpenAI, create one here: https://openai.com/
   • Create a project API key under Dashboard / API keys

1. Clone the project.

2. Create a virtual environment inside the project folder:

   python -m venv venv

3. Activate the virtual environment:

   Mac: source venv/bin/activate

   Windows: venv\Scripts\activate

4. Select interpreter in VSCode:

   (on Mac) Cmd + Shift + P ---> Select Interpreter ---> Select the created venv environment

5. Install the python dependencies:

   pip install -r requirements.txt

   Note: pyaudio is required only for recording audio files programmatically, not essential to run the api calls. Nevertheless, on Macs, pyaudio requires portaudio to be installed globally. Best to install it with brew, i.e. brew install portaudio

6. Create an .env file in the root folder and add your project's API key:

   OPENAI_API_KEY=your-unique-opanai-project-key
   
   

7. Run the Jupyter Notebook:

   • jupyter notebook command will open the Notebook in the browser.
   • The audio-api-calls.ipynb file provides the examples.

Credits

• This project was adopted from Colt Steele's Walkthrough project on Udemy: Mastering OpenAI Python APIs.

  Changes made: I updated the API calls as per the latest documentation.

• OpenAI: https://openai.com